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Mastering Object-Oriented Python

You're reading from   Mastering Object-Oriented Python Build powerful applications with reusable code using OOP design patterns and Python 3.7

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789531367
Length 770 pages
Edition 2nd Edition
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Tighter Integration Via Special Methods FREE CHAPTER
2. Preliminaries, Tools, and Techniques 3. The __init__() Method 4. Integrating Seamlessly - Basic Special Methods 5. Attribute Access, Properties, and Descriptors 6. The ABCs of Consistent Design 7. Using Callables and Contexts 8. Creating Containers and Collections 9. Creating Numbers 10. Decorators and Mixins - Cross-Cutting Aspects 11. Section 2: Object Serialization and Persistence
12. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 13. Storing and Retrieving Objects via Shelve 14. Storing and Retrieving Objects via SQLite 15. Transmitting and Sharing Objects 16. Configuration Files and Persistence 17. Section 3: Object-Oriented Testing and Debugging
18. Design Principles and Patterns 19. The Logging and Warning Modules 20. Designing for Testability 21. Coping with the Command Line 22. Module and Package Design 23. Quality and Documentation 24. Other Books You May Enjoy

Summary, design considerations, and trade-offs

In this chapter, we looked at the essential ingredients of abstract base classes. We saw a few features of each kind of abstraction.

We also learned that one rule for good class design is to inherit as much as possible. We saw two broad patterns here. We also saw the common exceptions to this rule.

Some application classes don't have behaviors that overlap with internal features of Python. From our Blackjack examples, a Card isn't much like a number, a container, an iterator, or a context: it's just a playing card. In this case, we can generally invent a new class because there aren't any built-in features to inherit from.

When we look at Hand, however, we can see that a hand is clearly a container. As we noted when looking at hand classes in Chapters 2, The __init__() Method, and Chapter 3, Integrating Seamlessly...

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